A flexible semiparametric approach for robust causal inference with invalid instruments and unmeasured confounder
Statistical Methods in Medical Research: An International Review Journal
Published online on April 13, 2026
Abstract
Statistical Methods in Medical Research, Ahead of Print.
Inferring causal effects with unmeasured confounder is a main challenge in causal inference. Many researchers impose parametric assumptions on the distribution of unmeasured confounder. However, due to the unobservable nature of the unmeasured confounder, ...
Inferring causal effects with unmeasured confounder is a main challenge in causal inference. Many researchers impose parametric assumptions on the distribution of unmeasured confounder. However, due to the unobservable nature of the unmeasured confounder, ...